20.500.12556/RUL-23032 Clustering of attribute and/or relational data A large class of clustering problems can be formulated as an optimizational problem in which the best clustering is searched for among all feasible clustering according to a selected criterion function. This clustering approach can be applied to a variety of very interesting clustering problems, as it is possible to adapt it to a concrete clustering problem by an appropriate specification of the criterion function and/or by the definition of the set of feasible clusterings. Both, the blockmodeling problem (clustering of the relational data) and the clustering with relational constraint problem (clustering of the attribute and relational data) can be very successfully treated by this approach. It also opens many new developments in these areas. The paired clustering approaches are applied to the Slovenian scientific collaboration data. true false false Angleški jezik Neznan jezik Delo ni kategorizirano 2014-07-11 14:31:02 2014-07-11 14:31:02 2022-06-02 03:51:41 0000-00-00 00:00:00 2009 0 0 Str. 135-153 no. 2 Vol. 6 2009 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 303 1854-0023 28666973 http://mrvar.fdv.uni-lj.si/pub/mz/mz6.1/ferligoj.pdf 1 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=23032 Fakulteta za družbene vede 0 0 0